code: def get_laf_center(LAF: Tensor) -> Tensor:
      """Return a center (keypoint) of the LAFs. The convention is that center of 5-pixel image (coordinates from 0
      to 4) is 2, and not 2.5.
  
      Args:
          LAF: :math:`(B, N, 2, 3)`
  
      Returns:
          xy :math:`(B, N, 2)`
  
      Example:
          >>> input = torch.ones(1, 5, 2, 3)  # BxNx2x3
          >>> output = get_laf_center(input)  # BxNx2
      """
      KORNIA_CHECK_LAF(LAF)
      out = LAF[..., 2]
      return out
  
imports: import math
  from typing import List, Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from kornia.core import Tensor, concatenate, cos, sin, stack, tensor, zeros
  from kornia.core.check import KORNIA_CHECK_LAF, KORNIA_CHECK_SHAPE
  from kornia.geometry.conversions import angle_to_rotation_matrix, convert_points_from_homogeneous, rad2deg
  from kornia.geometry.linalg import transform_points
  from kornia.geometry.transform import pyrdown
label_desc: Use image node_id 2 for calling a global function with example usage: get_laf_center(LAF) and returns: out